Triple

T25224635
Position Surface form Disambiguated ID Type / Status
Subject Tawny Newsome E632058 entity
Predicate notableWork P4 FINISHED
Object Star Trek: The Pod Directive
Star Trek: The Pod Directive is an official Star Trek podcast co-hosted by comedian and actress Tawny Newsome that features interviews, discussions, and deep dives into the Star Trek universe.
E1678564 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Star Trek: The Pod Directive | Statement: [Tawny Newsome, notableWork, Star Trek: The Pod Directive]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Star Trek: The Pod Directive
Triple: [Tawny Newsome, notableWork, Star Trek: The Pod Directive]
Generated description
Star Trek: The Pod Directive is an official Star Trek podcast co-hosted by comedian and actress Tawny Newsome that features interviews, discussions, and deep dives into the Star Trek universe.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cc23da88190bad7b9a28e09898b completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108968a2648190913dc73ac1a5c5c9 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108a0af25481909d520360b86ff170 completed May 22, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a108b00aee0819088928d399c5e52b7 completed May 22, 2026, 4:57 p.m.
Created at: April 21, 2026, 1:03 p.m.